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Upgrading a Granular Computing Based Data Mining Framework to a Relational Case

  • Published:2014-01-10 Issue:5 Volume:29 Page:407-438
  • ISSN:0884-8173
  • Container-title:International Journal of Intelligent Systems
  • language:en
  • Short-container-title:Int. J. Intell. Syst.

Author:

Hońko Piotr1

Affiliation:

1. Faculty of Computer Science; Bialystok University of Technology; Wiejska 45A 15-351 Białystok Poland

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Average utility driven data analytics on damped windows for intelligent systems with data streams;International Journal of Intelligent Systems;2021-06-03

2. Efficiently mining erasable stream patterns for intelligent systems over uncertain data;International Journal of Intelligent Systems;2020-07-22

3. Recent granular computing frameworks for mining relational data;Artificial Intelligence Review;2018-06-30

4. Granular-Relational Data Mining;Studies in Computational Intelligence;2017

5. Binary Classification of Multigranulation Searching Algorithm Based on Probabilistic Decision;Mathematical Problems in Engineering;2016
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